Photopolarimetric properties of leaf and vegetation covers over a wide range of measurement directions

Sun, Zhongqiu; Peng, Zhiyan; Wu, Di; Lv, Yuguang

doi:10.1016/j.jqsrt.2017.11.017

Cited by 23 publications

(8 citation statements)

References 58 publications

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“…Over the past four decades, polarimetric reflective signals have been used in various remote sensing scenarios such as aerosol monitoring (Cheng et al 2012;Knobelspiesse 2011), cloud property retrieval (Knobelspiesse et al 2011b), surface characterizing (Waquet et al 2009;Litvinov et al 2010), or even navigation (Hamaoui 2017;Ma et al 2015). However, as human eyes are not sensitive to polarization and the limitation of detectors, the applications of polarimetric signals in remote sensing field is still much less compared with intensity applications (Sun et al 2018).…”

Section: Introductionmentioning

confidence: 99%

Aerosol-induced changes in sky polarization pattern: potential hint on applications in polarimetric remote sensing

Chen

Bai

Wang

et al. 2019

International Journal of Remote Sensing

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Section: Introductionmentioning

confidence: 99%

Aerosol-induced changes in sky polarization pattern: potential hint on applications in polarimetric remote sensing

Chen

Bai

Wang

et al. 2019

International Journal of Remote Sensing

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“…Spectral reflection has an average relative uncertainty of 1%, which is effective in the wavelength range of 400–2300 nm. NENULGS has been used to measure the optical properties of leaves and vegetation covers (Sun, Peng, Wu, & Lv, ; Sun, Wu, Lv, & Zhao, ; Sun, Wu, Lv, & Zhao, ; Sun, Wu, & Zhao, ).…”

Section: Methodsmentioning

confidence: 99%

“…NENULGS has been used to measure the optical properties of leaves and vegetation covers (Sun, Peng, Wu, & Lv, 2018;Sun, Wu, Lv, & Zhao, 2017a;Sun, Wu, Lv, & Zhao, 2017b;Sun, Wu, & Zhao, 2018).…”

Section: Multiangle Spectral Reflection Measurementsmentioning

confidence: 99%

Estimation of the leaf chlorophyll content using multiangular spectral reflectance factor

Sun

et al. 2019

Plant Cell & Environment

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Chlorophyll is one of the primary pigments of plant leaves, and changes in its content can be used to characterize the physiological status of plants. Spectral indices have been devised and validated for estimating leaf chlorophyll content (LCC). However, most of the existing spectral indices do not consider the influence of angular reflection on the accuracy of the LCC estimation. In this study, the spectral reflectance factors of leaves from three plant species were measured from several observations in the principal plane. The relationship between the existing spectral indices and the LCC from different directions suggests that the directional reflection of a leaf surface impacts the accuracy of its LCC estimation. Subsequently, the ratio of reflectance differences, that is, the modified Datt index, was tested to reduce the directional reflection effect when predicting LCC. Our results indicated that the modified Datt index not only estimated LCC with high accuracy for all observation directions and plant species but also consistently predicted the LCC of each species in individual observation directions. Our method opens the possibility for optical detection of LCC using multiangular spectral reflection, which is convenient for plant science studies focused on the variation in LCC.

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“…NENULGS, which is equipped with an artificial light source, an ASD spectroradiometer (Analytical Spectral Devices Field Spec 4, Boulder, CO, USA), and goniometer, was previously described in detail in a prior article [60]. NENULGS has been used in various studies to accurately examine different properties of leaves [61][62][63]. Fresh weight was measured after taking the reflectance measurement and then air-dried to a stable weight for some time after that sample.…”

Section: Experiments Involving Leaf Sampling and Dehydration Experimentsmentioning

confidence: 99%

Estimation of Leaf Water Content of Different Leaves from Different Species Using Hyperspectral Reflectance Data

QM¹,

W²

2022

annagriccropsci

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Water content of individual leaves or vegetation canopies is a significant variable in plant physiological processes. The water content of the vegetation leaves plays a very significant role. The ability of hyperspectral advanced technology to accurately evaluate leaf and canopy water content has improved large-scale measures. Due to the presence of water absorption band in near and SWIR wavelength range, electromagnetic spectrum will allow us to correctly measure the leaf water content. Three different parameters were used to describe the water status: Equivalent Water Thickness (EWT), Gravimetric Water Content (GWC), and Plant Water Concentration (PWC), with leaf multi angular reflectance spectrum, to find sensitive spectral indices, to correctly assess water content of leaves in a wide range of plant species. Using spectral indices derived from multi angular reflectance spectra, we looked into the possibility for predicting leaf water content of six species in the study area. To analyze the status of leaf water, three different forms of hyperspectral indices were evaluated, including the Simple Ratio (SR), Normalized ratio wavelength (ND) and Double Difference ratio (DDn). To look over the possibility of predicting the leaf water status of the species in the study field, we proposed four new indices. The results showed that EWT is comparatively more sensitive to trace leaf water status than GWC and PWC. The best-established EWT indices were (R905-R1795)/(R1905-R1935), R1350/R1390, (R840-R1565)/(R840+R1565) and (R925-R1625)/ (R925+R1625) and the performance of the proposed hyper-spectral indices surpassed the performance of other indices in this study. The mentioned indices were then further analyzed on LOPEX and ANGERS databases for validation of our suggested indices and we come up with better results. This study indicates that spectral indices can be used and could be more reliable to predict leaf water content, but future studies will need to include more plant species and field data. The newly developed indices can be used to estimate EWT using simple laboratory measurements, making them helpful for agricultural environmental sciences and ecology related studies.

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Photopolarimetric properties of leaf and vegetation covers over a wide range of measurement directions

Cited by 23 publications

References 58 publications

Aerosol-induced changes in sky polarization pattern: potential hint on applications in polarimetric remote sensing

Aerosol-induced changes in sky polarization pattern: potential hint on applications in polarimetric remote sensing

Estimation of the leaf chlorophyll content using multiangular spectral reflectance factor

Estimation of Leaf Water Content of Different Leaves from Different Species Using Hyperspectral Reflectance Data

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